72 Examples of Customer Attributes

John Spacey, August 07, 2022

Customer attributes are characteristics, properties and behaviors that can be used to describe a customer. These are data fields that can be collected in a customer database or software such as analytics that captures customer data. The following are illustrative examples of customer attributes.

Account Id	Acquisition Type (how did you acquire the customer)
Address	Affinity (things the customer likes)
Campaign Interest (e.g. click thoroughs)	Cancellations
Cart Abandonments	Color Affinity (e.g. often orders blue things)
Complaint Status	Contact Preference
Coupon Purchases	Customer Satisfaction (i.e. how did the customer rank your service)
Customer Status	Customer Type
Date of Birth	Device Type (e.g. logons on with a computer / phone)
Downgrades	Downloads
Education Level	Email
Employer	Family Details (e.g. Parental Status)
Feature Utilization	Firmographic Attributes (for business customers)
First Name	First Purchase Date
Gender	Gift Purchases
Housing Type	Identification Number (e.g. Driver's Licence Number)
Income	Inquiries
Interactions	Job Title
Last Name	Last Purchase Time
Last Visit Time	Licence Type
Lifestyle Attributes (e.g. owns a pet)	Lifetime Customer Value
Loyalty Status	Marital Status
Media Views	Mobile Number
Newsletter Permission / Preference	Number of Children
Number of Purchases	Number of Returns
Number of Visits	Open Rate
Opinion Data (e.g. from a survey)	Order Metrics (e.g. average order value)
Payment Methods	Payment Status
Phone Number	Point / Gift Card Balance
Points Status	Privacy Preference
Product Affinity (products the customer often buys)	Product Views
Purchase Motivation	Shipping Preferences
Social Media Activity (e.g. shares your content in social media)	Social Media Identifiers
Subscription Renewal Date	Subscriptions
Tax Id	Title
Value of Purchases	Value of Returns
Visit Trend (e.g. visiting more or less than usual)	Wish List (i.e. products the customer has saved)

There are many ethical / practical concerns around aggressive collection of customer data.

In many cases, customer attributes are approximations generated by algorithms. For example, you could guess that a customer is motivated by a need to stock a home office from their regular purchases of office supplies.

Customer attributes differ greatly by industry / firm.